Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "165" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 79 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 75 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
antnum = row['Ant']
if antnum != int(antenna):
continue
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.11% | 18.92% | 0.513221 | -0.718160 | 0.145384 | 0.163006 | 0.392285 | -1.173446 | 0.178518 | -0.022466 | 0.7984 | 0.7995 | 0.2531 | 2.721099 | 2.795507 |
| 2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.558423 | 0.053222 | -1.144224 | -0.695898 | 1.484627 | -0.946020 | 0.369569 | -0.665894 | 0.7337 | 0.7333 | 0.2525 | 2.177844 | 2.313764 |
| 2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.199860 | -0.987612 | -0.042950 | -0.457288 | 0.361905 | -0.291449 | -1.967239 | -0.061729 | 0.0284 | 0.0285 | 0.0011 | nan | nan |
| 2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.538321 | 0.077207 | -0.895548 | -0.112354 | 0.788682 | -1.075874 | 0.176005 | -0.929696 | 0.6806 | 0.6923 | 0.3719 | 1.805058 | 1.696564 |
| 2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.581712 | 0.023206 | -0.490020 | -0.539159 | 2.006114 | -0.740477 | 1.142015 | -0.649835 | 0.6819 | 0.6900 | 0.3643 | 1.946776 | 1.818958 |
| 2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 15.59% | 7.53% | -0.942558 | 0.007581 | -0.061003 | -0.865054 | 0.015143 | -1.169184 | 0.116924 | -0.654695 | 0.7265 | 0.7204 | 0.2788 | 1.590646 | 1.708158 |
| 2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.00% | -0.255055 | 0.375433 | -1.162548 | -0.551674 | -0.312468 | -0.928227 | -0.383375 | -0.415144 | 0.7737 | 0.7545 | 0.2340 | 2.761504 | 2.553936 |
| 2459587 | digital_ok | 0.00% | - | - | - | 2.80% | 0.00% | -1.023572 | -0.058616 | -1.126965 | -0.157006 | 0.105315 | -0.117303 | 2.120036 | -0.824061 | nan | nan | nan | 0.695608 | 0.682138 |
| 2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 7.03% | 0.00% | -0.030312 | 0.582828 | 1.647929 | 1.127807 | 2.244103 | 0.627135 | -0.873039 | -0.062546 | 0.6698 | 0.6884 | 0.3547 | 1.772185 | 1.718195 |
| 2459585 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 161.795037 | 162.201929 | inf | inf | 17.418291 | 15.506998 | 1910.966616 | 1356.027230 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459584 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.345957 | 0.817137 | 0.080399 | 1.149223 | -2.204934 | -0.801365 | 0.678518 | -0.640379 | 0.6229 | 0.6348 | 0.3658 | 1.315963 | 1.296328 |
| 2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.23% | 0.00% | -0.964067 | 0.301310 | -0.323064 | 0.973901 | 1.722944 | -0.182136 | 1.621029 | 0.083411 | 0.6822 | 0.6918 | 0.3804 | 1.864091 | 1.943354 |
| 2459582 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.70% | 0.00% | -0.914856 | 0.514430 | -0.313986 | 0.983766 | 1.264823 | -0.450103 | 0.826513 | -0.278267 | 0.6843 | 0.6943 | 0.3850 | 1.754266 | 1.771368 |
| 2459581 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.24% | 0.00% | -1.033305 | 0.881980 | 0.274414 | 0.561109 | 0.781637 | -0.494904 | 2.036683 | 0.001004 | 0.6850 | 0.6965 | 0.3821 | 1.774222 | 1.744334 |
| 2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -0.947301 | 0.528881 | -0.364930 | 0.752046 | 2.053179 | -0.529321 | -0.357324 | -0.642883 | 0.6857 | 0.6951 | 0.3805 | 1.905128 | 1.838315 |
| 2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 96.24% | -0.163962 | 1.127305 | 0.041022 | 1.432537 | 1.272471 | -0.700449 | 0.589544 | -0.007058 | 0.6747 | 0.6842 | 0.3906 | 14.433889 | 18.240487 |
| 2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.081732 | -0.760871 | -1.008346 | -0.663686 | 0.794342 | -0.695456 | -0.890118 | -0.933177 | 0.0311 | 0.0366 | 0.0006 | nan | nan |
| 2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 9.73% | 11.35% | -0.597943 | 0.604330 | 0.185063 | 0.654477 | 0.882061 | -0.152981 | 1.706910 | 0.506605 | 0.6813 | 0.6916 | 0.3830 | 1.856295 | 1.773551 |
| 2459576 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.84% | 0.54% | -0.714667 | 0.808521 | 0.403862 | 0.837540 | 0.024941 | -0.097815 | 1.184933 | 0.057563 | 0.7067 | 0.7164 | 0.3815 | 1.552980 | 1.545846 |
| 2459575 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.30% | 0.00% | -0.759334 | 0.546772 | -0.257181 | 0.677267 | 0.551859 | -0.010738 | -0.103427 | 0.845405 | 0.7696 | 0.7738 | 0.3204 | 1.557959 | 1.525624 |
| 2459574 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.426647 | 1.047636 | -0.012761 | 0.631978 | -0.225280 | 0.091268 | 0.325837 | -0.620988 | 0.7015 | 0.7103 | 0.3789 | 1.573464 | 1.492931 |
| 2459573 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.589495 | 1.115757 | -0.313844 | 1.168631 | 1.326955 | -0.136057 | 1.114424 | 0.092464 | 0.6949 | 0.7078 | 0.3897 | 1.652384 | 1.572796 |
| 2459572 | digital_ok | 100.00% | 75.68% | 75.68% | 0.00% | 100.00% | 0.00% | -0.275566 | 0.641099 | 9.629598 | 9.866949 | 207.843152 | 209.230723 | 14.207529 | 13.995316 | 0.1913 | 0.2034 | 0.0787 | 1.377815 | 1.403447 |
| 2459571 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.895691 | -0.973489 | -0.491982 | -0.695738 | 109.897104 | 116.032405 | 5.628871 | 5.070194 | 0.0333 | 0.0457 | 0.0010 | nan | nan |
| 2459570 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.54% | -1.037468 | -1.171457 | -1.143922 | -1.161735 | -0.835781 | -0.979420 | 0.373175 | -0.030111 | 0.6776 | 0.7032 | 0.3573 | 1.691297 | 1.694777 |
| 2459569 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | -0.897654 | 0.749659 | 0.132776 | 0.709318 | 0.300132 | 0.703290 | 0.270314 | 0.759001 | 0.7854 | 0.7915 | 0.2202 | 2.121081 | 2.087036 |
| 2459566 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.32% | 0.00% | -0.213275 | 0.654232 | 0.065810 | 0.911378 | 0.788289 | -0.079191 | 2.305901 | 0.198246 | 0.6937 | 0.7090 | 0.3957 | 1.733133 | 1.730146 |
| 2459565 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -0.360608 | -0.126990 | 0.693308 | -0.426979 | -0.713352 | 1.875063 | 2.940480 | 0.134836 | 0.7099 | 0.7163 | 0.3968 | 1.832323 | 1.764973 |
| 2459563 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.649500 | 0.354827 | 0.495464 | -0.699168 | 1.900979 | -0.655882 | 2.411611 | -0.457120 | 0.7054 | 0.7158 | 0.3895 | 1.785722 | 1.833985 |
| 2459562 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.459812 | 0.667821 | 0.345328 | 0.752296 | -0.157782 | 0.727608 | 1.412445 | 0.280745 | 0.7111 | 0.7215 | 0.3835 | 1.983457 | 1.796652 |
| 2459561 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.54% | -0.725129 | 0.479384 | 0.000863 | 0.555523 | -0.740197 | 0.576653 | 0.517085 | 0.110191 | 0.7115 | 0.7217 | 0.3832 | 1.924423 | 1.814940 |
| 2459560 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.371156 | 0.561714 | 0.287871 | 0.564958 | -0.401247 | 0.701140 | 1.050786 | 0.096502 | 0.7030 | 0.7143 | 0.3994 | 1.760313 | 1.692892 |
| 2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.513769 | 0.645245 | 0.336173 | 0.534910 | -0.702816 | 0.406297 | 1.287827 | 0.224286 | 0.7074 | 0.7156 | 0.3830 | 1.853953 | 1.729129 |
| 2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 13.98% | 0.00% | -1.066451 | 1.166401 | -0.552169 | 1.073135 | 1.370718 | -0.269883 | 1.594805 | -0.010015 | 0.7070 | 0.7130 | 0.3977 | 1.602153 | 1.546075 |
| 2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0294 | 0.0287 | 0.0014 | nan | nan |
| 2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | -0.680375 | 1.375880 | -0.312399 | 1.285094 | 0.889762 | -0.292659 | 2.611047 | -0.336867 | 0.7049 | 0.7112 | 0.3925 | 1.713524 | 1.674721 |
| 2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7123 | 0.7218 | 0.3979 | nan | nan |
| 2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7110 | 0.7187 | 0.3966 | nan | nan |
| 2459552 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -1.180558 | 1.287305 | 0.377055 | 0.952767 | 0.277832 | -1.119798 | 1.481621 | -0.635868 | 0.7131 | 0.7187 | 0.3982 | 1.557877 | 1.639919 |
| 2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.527695 | 0.700778 | 0.377841 | 0.651991 | -0.457085 | 0.593731 | 1.624834 | 0.141415 | 0.7098 | 0.7196 | 0.3893 | 2.033991 | 1.795480 |
| 2459550 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0467 | 0.0493 | 0.0007 | nan | nan |
| 2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.11% | 0.00% | -0.264518 | 1.288014 | 0.061665 | 0.844794 | 0.690629 | -0.646989 | 0.973627 | -0.561137 | 0.7071 | 0.7146 | 0.4000 | 2.028369 | 1.814442 |
| 2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -1.509017 | 0.343708 | 1.171630 | -0.792977 | -0.000923 | 1.082228 | 2.320008 | -0.409265 | 0.7644 | 0.7642 | 0.3450 | 1.879661 | 1.768236 |
| 2459541 | digital_ok | 0.00% | 1.79% | 1.79% | 0.00% | 21.88% | 0.00% | -0.922295 | 0.773812 | -0.029003 | 0.817087 | 1.716480 | 0.730294 | 2.041393 | -0.101673 | 0.7544 | 0.7516 | 0.3190 | 1.575372 | 1.561735 |
| 2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.88% | 1.34% | -0.679961 | 0.913781 | -0.150999 | 0.674976 | 1.823415 | 0.149077 | 0.071800 | 0.458670 | 0.7677 | 0.7648 | 0.3311 | 1.760571 | 1.601170 |
| 2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -0.948488 | 1.723865 | 1.645131 | 1.763878 | 0.248159 | 0.602649 | 0.788353 | 0.101966 | 0.7378 | 0.7405 | 0.4224 | 1.980418 | 1.766443 |
| 2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | -0.433839 | 0.595546 | 0.003106 | 0.606365 | 1.505489 | 0.158533 | -0.349840 | -0.166402 | 0.7943 | 0.7862 | 0.3520 | 1.922837 | 1.693056 |
| 2459534 | digital_ok | 100.00% | 98.66% | 98.66% | 0.00% | 100.00% | 0.00% | 3.488727 | 5.271776 | -1.335575 | -0.458385 | 2.416590 | 4.368025 | 8.340786 | 8.295980 | 0.0811 | 0.0666 | 0.0204 | 1.264910 | 1.268897 |
| 2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.00% | -1.197328 | 0.874848 | -0.701764 | 0.778222 | 1.582935 | -0.415925 | 0.030766 | 0.016848 | 0.7343 | 0.7354 | 0.4024 | 1.861266 | 1.700787 |
| 2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 5.56% | -1.077770 | 1.492717 | -0.163690 | 1.798579 | 1.489149 | -0.390708 | -0.180596 | -0.380284 | 0.7333 | 0.7390 | 0.4052 | 1.941799 | 1.828449 |
| 2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 0.00% | -0.607461 | 0.478969 | 0.149523 | 0.572651 | -0.274545 | 0.873906 | 0.174679 | 0.135983 | 0.7530 | 0.7503 | 0.3990 | 1.961584 | 1.762140 |
| 2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.733222 | 1.448261 | -0.582711 | 1.013301 | 0.544125 | 0.361076 | -0.526412 | -0.435810 | 0.9109 | 0.9389 | 0.2796 | 0.000000 | 0.000000 |
| 2459523 | digital_ok | 0.00% | - | - | - | 12.24% | 0.00% | -1.829616 | 1.185294 | 0.631738 | 1.399279 | 1.954404 | 0.126319 | -0.115435 | 0.591064 | nan | nan | nan | 2.687344 | 2.303981 |
| 2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.187436 | 0.976755 | 0.215190 | 1.470070 | -0.025899 | 0.170147 | 0.053249 | 0.140911 | 0.7156 | 0.7063 | 0.3079 | 1.925692 | 2.358169 |
| 2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.850306 | -0.830038 | -1.049409 | -1.012842 | 2.592022 | -0.490283 | -0.588683 | -0.748430 | 0.0331 | 0.0324 | 0.0009 | nan | nan |
| 2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -0.792930 | 1.853259 | -1.129711 | 0.941284 | 0.059196 | 0.125208 | -0.919679 | 0.746623 | 0.9220 | 0.9545 | 0.1504 | 0.000000 | 0.000000 |
| 2459505 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.287029 | 1.288465 | 0.425335 | 1.720851 | -0.003335 | 0.396969 | 0.589539 | 0.486502 | 0.0751 | 0.0652 | 0.0034 | 1.343043 | 1.341068 |
| 2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | -1.070872 | 2.324958 | 0.012884 | 1.309540 | 1.336687 | 1.764733 | 1.368714 | 1.394472 | 0.8752 | 0.8736 | 0.4205 | 0.000000 | 0.000000 |
| 2459501 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.810073 | 1.966014 | -0.871234 | 0.666709 | 1.323531 | 0.252228 | 0.260770 | -0.006481 | 0.1173 | 0.1108 | 0.0117 | 0.000000 | 0.000000 |
| 2459500 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.478486 | 1.986110 | -0.695629 | 0.295312 | -0.925157 | 0.398237 | -0.426234 | -0.476804 | 0.1038 | 0.0936 | 0.0095 | 0.000000 | 0.000000 |
| 2459499 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.555498 | 2.112342 | -1.157798 | 0.880006 | -0.967144 | 0.628786 | -0.049219 | -0.240847 | 0.1188 | 0.1212 | 0.0082 | 0.000000 | 0.000000 |
| 2459498 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.982546 | 1.406441 | -1.086054 | 0.608879 | -0.699086 | 0.535509 | 1.727927 | 1.428555 | 0.1133 | 0.1179 | 0.0132 | 0.000000 | 0.000000 |
| 2459497 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.920913 | 1.818448 | -1.101076 | 0.584412 | -0.781727 | 0.102368 | 1.820646 | 1.376162 | 0.1375 | 0.1417 | 0.0148 | 0.000000 | 0.000000 |
| 2459496 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.988917 | 1.812402 | -0.851195 | 0.794186 | -0.677892 | 0.405670 | -0.451576 | -0.333699 | 0.9214 | 0.9316 | 0.3227 | 0.000000 | 0.000000 |
| 2459495 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.816880 | 1.344674 | -0.758693 | 0.673285 | -0.565017 | 0.171985 | -0.116280 | -0.067263 | 0.9178 | 0.9282 | 0.3569 | 0.000000 | 0.000000 |
| 2459494 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 94.74% | 0.00% | -0.630843 | 2.131224 | -1.043715 | 0.854879 | -1.187950 | 0.438419 | -0.148502 | 0.093604 | 0.9011 | 0.9173 | 0.3745 | 0.000000 | 0.000000 |
| 2459492 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -1.241421 | 1.055088 | -0.056629 | 0.389169 | 2.049058 | -0.402149 | -0.443423 | 0.039115 | 0.7691 | 0.8162 | 0.3198 | 0.405390 | 0.358523 |
| 2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -0.425683 | 0.731185 | 0.748455 | 0.997908 | 1.597489 | 1.089457 | -0.252849 | 0.823694 | 0.8070 | 0.8311 | 0.2530 | 0.844775 | 0.848573 |
| 2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -0.325393 | 0.928462 | 0.846563 | 0.050306 | 1.141153 | -0.212122 | -0.307770 | 0.252712 | 0.7592 | 0.8111 | 0.3694 | 1.900943 | 2.000635 |
| 2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -1.130860 | 1.025199 | 0.335188 | 0.529073 | 2.265293 | -0.123851 | -0.111455 | 0.538180 | 0.7772 | 0.8189 | 0.3176 | 1.703965 | 1.732676 |
| 2459488 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 85.71% | 0.00% | -1.248994 | 1.014448 | 0.018004 | 0.725611 | 0.793381 | -0.108858 | 0.315103 | 0.861857 | 0.7786 | 0.8211 | 0.3499 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶html_to_display = ''
for am_html in auto_metric_htmls:
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD).
HTML(html_to_display)
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.643209 | -0.037019 | -0.662954 | -0.196784 | -1.090630 | -0.658969 | 1.643209 | -0.508348 | 0.202842 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.909538 | -0.054707 | -0.016036 | -0.993387 | -0.487537 | 1.225550 | -0.727048 | 1.909538 | -0.134281 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.537202 | 0.014783 | -1.051337 | -0.532650 | -0.772130 | -0.673624 | 1.100034 | -0.488990 | 1.537202 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.572358 | -0.079757 | -0.825724 | -0.314878 | -0.809125 | -0.801840 | 0.783610 | -0.519436 | 1.572358 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 0.202673 | -0.033097 | -0.933559 | -0.633907 | -0.086126 | -0.916280 | 0.202673 | -0.471872 | -0.055033 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Shape | 0.513221 | 0.513221 | -0.718160 | 0.145384 | 0.163006 | 0.392285 | -1.173446 | 0.178518 | -0.022466 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.484627 | -0.558423 | 0.053222 | -1.144224 | -0.695898 | 1.484627 | -0.946020 | 0.369569 | -0.665894 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 0.361905 | -0.987612 | 0.199860 | -0.457288 | -0.042950 | -0.291449 | 0.361905 | -0.061729 | -1.967239 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 0.788682 | 0.077207 | -0.538321 | -0.112354 | -0.895548 | -1.075874 | 0.788682 | -0.929696 | 0.176005 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.006114 | -0.581712 | 0.023206 | -0.490020 | -0.539159 | 2.006114 | -0.740477 | 1.142015 | -0.649835 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 0.116924 | 0.007581 | -0.942558 | -0.865054 | -0.061003 | -1.169184 | 0.015143 | -0.654695 | 0.116924 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 0.375433 | -0.255055 | 0.375433 | -1.162548 | -0.551674 | -0.312468 | -0.928227 | -0.383375 | -0.415144 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.120036 | -0.058616 | -1.023572 | -0.157006 | -1.126965 | -0.117303 | 0.105315 | -0.824061 | 2.120036 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.244103 | -0.030312 | 0.582828 | 1.647929 | 1.127807 | 2.244103 | 0.627135 | -0.873039 | -0.062546 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Power | inf | 161.795037 | 162.201929 | inf | inf | 17.418291 | 15.506998 | 1910.966616 | 1356.027230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.149223 | -0.345957 | 0.817137 | 0.080399 | 1.149223 | -2.204934 | -0.801365 | 0.678518 | -0.640379 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.722944 | -0.964067 | 0.301310 | -0.323064 | 0.973901 | 1.722944 | -0.182136 | 1.621029 | 0.083411 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.264823 | 0.514430 | -0.914856 | 0.983766 | -0.313986 | -0.450103 | 1.264823 | -0.278267 | 0.826513 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.036683 | -1.033305 | 0.881980 | 0.274414 | 0.561109 | 0.781637 | -0.494904 | 2.036683 | 0.001004 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.053179 | 0.528881 | -0.947301 | 0.752046 | -0.364930 | -0.529321 | 2.053179 | -0.642883 | -0.357324 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.432537 | -0.163962 | 1.127305 | 0.041022 | 1.432537 | 1.272471 | -0.700449 | 0.589544 | -0.007058 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 0.794342 | -1.081732 | -0.760871 | -1.008346 | -0.663686 | 0.794342 | -0.695456 | -0.890118 | -0.933177 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.706910 | 0.604330 | -0.597943 | 0.654477 | 0.185063 | -0.152981 | 0.882061 | 0.506605 | 1.706910 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.184933 | 0.808521 | -0.714667 | 0.837540 | 0.403862 | -0.097815 | 0.024941 | 0.057563 | 1.184933 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Discontinuties | 0.845405 | 0.546772 | -0.759334 | 0.677267 | -0.257181 | -0.010738 | 0.551859 | 0.845405 | -0.103427 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.047636 | -0.426647 | 1.047636 | -0.012761 | 0.631978 | -0.225280 | 0.091268 | 0.325837 | -0.620988 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.326955 | 1.115757 | -0.589495 | 1.168631 | -0.313844 | -0.136057 | 1.326955 | 0.092464 | 1.114424 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Variability | 209.230723 | 0.641099 | -0.275566 | 9.866949 | 9.629598 | 209.230723 | 207.843152 | 13.995316 | 14.207529 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Variability | 116.032405 | -0.973489 | -0.895691 | -0.695738 | -0.491982 | 116.032405 | 109.897104 | 5.070194 | 5.628871 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 0.373175 | -1.037468 | -1.171457 | -1.143922 | -1.161735 | -0.835781 | -0.979420 | 0.373175 | -0.030111 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Discontinuties | 0.759001 | 0.749659 | -0.897654 | 0.709318 | 0.132776 | 0.703290 | 0.300132 | 0.759001 | 0.270314 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.305901 | 0.654232 | -0.213275 | 0.911378 | 0.065810 | -0.079191 | 0.788289 | 0.198246 | 2.305901 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.940480 | -0.360608 | -0.126990 | 0.693308 | -0.426979 | -0.713352 | 1.875063 | 2.940480 | 0.134836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.411611 | -0.649500 | 0.354827 | 0.495464 | -0.699168 | 1.900979 | -0.655882 | 2.411611 | -0.457120 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.412445 | -0.459812 | 0.667821 | 0.345328 | 0.752296 | -0.157782 | 0.727608 | 1.412445 | 0.280745 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Variability | 0.576653 | -0.725129 | 0.479384 | 0.000863 | 0.555523 | -0.740197 | 0.576653 | 0.517085 | 0.110191 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.050786 | -0.371156 | 0.561714 | 0.287871 | 0.564958 | -0.401247 | 0.701140 | 1.050786 | 0.096502 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.287827 | -0.513769 | 0.645245 | 0.336173 | 0.534910 | -0.702816 | 0.406297 | 1.287827 | 0.224286 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.594805 | 1.166401 | -1.066451 | 1.073135 | -0.552169 | -0.269883 | 1.370718 | -0.010015 | 1.594805 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.611047 | 1.375880 | -0.680375 | 1.285094 | -0.312399 | -0.292659 | 0.889762 | -0.336867 | 2.611047 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.481621 | 1.287305 | -1.180558 | 0.952767 | 0.377055 | -1.119798 | 0.277832 | -0.635868 | 1.481621 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.624834 | 0.700778 | -0.527695 | 0.651991 | 0.377841 | 0.593731 | -0.457085 | 0.141415 | 1.624834 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.288014 | -0.264518 | 1.288014 | 0.061665 | 0.844794 | 0.690629 | -0.646989 | 0.973627 | -0.561137 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.320008 | 0.343708 | -1.509017 | -0.792977 | 1.171630 | 1.082228 | -0.000923 | -0.409265 | 2.320008 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 2.041393 | 0.773812 | -0.922295 | 0.817087 | -0.029003 | 0.730294 | 1.716480 | -0.101673 | 2.041393 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.823415 | 0.913781 | -0.679961 | 0.674976 | -0.150999 | 0.149077 | 1.823415 | 0.458670 | 0.071800 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.763878 | 1.723865 | -0.948488 | 1.763878 | 1.645131 | 0.602649 | 0.248159 | 0.101966 | 0.788353 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.505489 | -0.433839 | 0.595546 | 0.003106 | 0.606365 | 1.505489 | 0.158533 | -0.349840 | -0.166402 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 8.340786 | 5.271776 | 3.488727 | -0.458385 | -1.335575 | 4.368025 | 2.416590 | 8.295980 | 8.340786 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.582935 | -1.197328 | 0.874848 | -0.701764 | 0.778222 | 1.582935 | -0.415925 | 0.030766 | 0.016848 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.798579 | -1.077770 | 1.492717 | -0.163690 | 1.798579 | 1.489149 | -0.390708 | -0.180596 | -0.380284 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Temporal Variability | 0.873906 | 0.478969 | -0.607461 | 0.572651 | 0.149523 | 0.873906 | -0.274545 | 0.135983 | 0.174679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.448261 | -0.733222 | 1.448261 | -0.582711 | 1.013301 | 0.544125 | 0.361076 | -0.526412 | -0.435810 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.954404 | -1.829616 | 1.185294 | 0.631738 | 1.399279 | 1.954404 | 0.126319 | -0.115435 | 0.591064 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.470070 | 0.976755 | -1.187436 | 1.470070 | 0.215190 | 0.170147 | -0.025899 | 0.140911 | 0.053249 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.592022 | -0.830038 | -0.850306 | -1.012842 | -1.049409 | -0.490283 | 2.592022 | -0.748430 | -0.588683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.853259 | 1.853259 | -0.792930 | 0.941284 | -1.129711 | 0.125208 | 0.059196 | 0.746623 | -0.919679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 2.841853 | -0.998262 | 2.841853 | -0.249391 | 1.935044 | 0.981312 | 0.744985 | 0.903771 | 1.329513 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Power | 1.720851 | 1.288465 | -1.287029 | 1.720851 | 0.425335 | 0.396969 | -0.003335 | 0.486502 | 0.589539 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 2.324958 | -1.070872 | 2.324958 | 0.012884 | 1.309540 | 1.336687 | 1.764733 | 1.368714 | 1.394472 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.966014 | -0.810073 | 1.966014 | -0.871234 | 0.666709 | 1.323531 | 0.252228 | 0.260770 | -0.006481 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.986110 | -0.478486 | 1.986110 | -0.695629 | 0.295312 | -0.925157 | 0.398237 | -0.426234 | -0.476804 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 2.112342 | 2.112342 | -0.555498 | 0.880006 | -1.157798 | 0.628786 | -0.967144 | -0.240847 | -0.049219 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.727927 | -0.982546 | 1.406441 | -1.086054 | 0.608879 | -0.699086 | 0.535509 | 1.727927 | 1.428555 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Discontinuties | 1.820646 | 1.818448 | -0.920913 | 0.584412 | -1.101076 | 0.102368 | -0.781727 | 1.376162 | 1.820646 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.812402 | -0.988917 | 1.812402 | -0.851195 | 0.794186 | -0.677892 | 0.405670 | -0.451576 | -0.333699 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.344674 | -0.816880 | 1.344674 | -0.758693 | 0.673285 | -0.565017 | 0.171985 | -0.116280 | -0.067263 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 2.131224 | 2.131224 | -0.630843 | 0.854879 | -1.043715 | 0.438419 | -1.187950 | 0.093604 | -0.148502 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.049058 | 1.055088 | -1.241421 | 0.389169 | -0.056629 | -0.402149 | 2.049058 | 0.039115 | -0.443423 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.597489 | -0.425683 | 0.731185 | 0.748455 | 0.997908 | 1.597489 | 1.089457 | -0.252849 | 0.823694 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 1.141153 | 0.928462 | -0.325393 | 0.050306 | 0.846563 | -0.212122 | 1.141153 | 0.252712 | -0.307770 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | ee Temporal Variability | 2.265293 | -1.130860 | 1.025199 | 0.335188 | 0.529073 | 2.265293 | -0.123851 | -0.111455 | 0.538180 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 165 | 14 | digital_ok | nn Shape | 1.014448 | -1.248994 | 1.014448 | 0.018004 | 0.725611 | 0.793381 | -0.108858 | 0.315103 | 0.861857 |